Title :
Exposing video inter-frame forgery based on velocity field consistency
Author :
Yuxing Wu ; Xinghao Jiang ; Tanfeng Sun ; Wan Wang
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In recent years, video forensics has become an important issue. Video inter-frame forgery detection is a significant branch of forensics. In this paper, a new algorithm based on the consistency of velocity field is proposed to detect video inter-frame forgery (i.e., consecutive frame deletion and consecutive frame duplication). The generalized extreme studentized deviate (ESD) test is applied to identify the forgery types and locate the manipulated positions in forged videos. Experiments show the effectiveness of our algorithm.
Keywords :
image forensics; video signal processing; video surveillance; consecutive frame deletion; consecutive frame duplication; generalized ESD test; generalized extreme studentized deviate test; velocity field consistency; video forensics; video interframe forgery detection; Accuracy; Cameras; Conferences; Electrostatic discharges; Forensics; Forgery; Surveillance; Generalized extreme studentized deviate; Inter-frame forgery detection; Velocity field; Video forensics;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854085
